The Impact of Classroom Evaluation on Chinese Learning Motivation:A Comparative Study of Oral Feedback and Written Comments

Classroom evaluation plays a critical role in shaping students’learning experiences,influencing not only their academic performance but also their motivation and engagement.In the context of primary Chinese language learning,oral feedback and written comments are two prevalent evaluation methods.This paper explores how these different types of feedback impact students’motivation,learning outcomes,and participation.By comparing the immediacy of oral feedback with the systematic nature of written comments,this study seeks to provide insights into how educators can utilize classroom evaluations more effectively to foster motivation in Chinese language learners.The findings indicate that both feedback methods have unique strengths,and a balanced approach may optimize learning outcomes.

Leveraging User-Generated Comments and Fused BiLSTM Models to Detect and Predict Issues with Mobile Apps

In the last decade, technical advancements and faster Internet speeds have also led to an increasing number ofmobile devices and users. Thus, all contributors to society, whether young or old members, can use these mobileapps. The use of these apps eases our daily lives, and all customers who need any type of service can accessit easily, comfortably, and efficiently through mobile apps. Particularly, Saudi Arabia greatly depends on digitalservices to assist people and visitors. Such mobile devices are used in organizing daily work schedules and services,particularly during two large occasions, Umrah and Hajj. However, pilgrims encounter mobile app issues such asslowness, conflict, unreliability, or user-unfriendliness. Pilgrims comment on these issues on mobile app platformsthrough reviews of their experiences with these digital services. Scholars have made several attempts to solve suchmobile issues by reporting bugs or non-functional requirements by utilizing user comments.However, solving suchissues is a great challenge, and the issues still exist. Therefore, this study aims to propose a hybrid deep learningmodel to classify and predict mobile app software issues encountered by millions of pilgrims during the Hajj andUmrah periods from the user perspective. Firstly, a dataset was constructed using user-generated comments fromrelevant mobile apps using natural language processing methods, including information extraction, the annotationprocess, and pre-processing steps, considering a multi-class classification problem. Then, several experimentswere conducted using common machine learning classifiers, Artificial Neural Networks (ANN), Long Short-TermMemory (LSTM), and Convolutional Neural Network Long Short-Term Memory (CNN-LSTM) architectures, toexamine the performance of the proposed model. Results show 96% in F1-score and accuracy, and the proposedmodel outperformed the mentioned models.

Emotional differences based on comments on doctor-patient disputes with varying levels of severity

BACKGROUND The risks associated with negative doctor-patient relationships have seriously hindered the healthy development of medical and healthcare and aroused wide-spread concern in society.The number of public comments on doctor-patient relationship risk events reflects the degree to which the public pays attention to such events.Thirty incidents of doctor-patient disputes were collected from Weibo and TikTok,and 3655 related comments were extracted.The number of comment sentiment words was extracted,and the comment sentiment value was calculated.The Kruskal-Wallis H test was used to compare differences between each variable group at different levels of incidence.Spearman’s correlation analysis was used to examine associations between variables.Regression analysis was used to explore factors influencing scores of comments on incidents.RESULTS The study results showed that public comments on media reports of doctor-patient disputes at all levels are mainly dominated by“good”and“disgust”emotional states.There was a significant difference in the comment scores and the number of partial emotion words between comments on varying levels of severity of doctor-patient disputes.The comment score was positively correlated with the number of emotion words related to positive,good,and happy)and negatively correlated with the number of emotion words related to negative,anger,disgust,fear,and sadness.CONCLUSION The number of emotion words related to negative,anger,disgust,fear,and sadness directly influences comment scores,and the severity of the incident level indirectly influences comment scores.

Next Higher Transmisson Voltage for Northwest Power Grid in China──Progess of And Some Comments on the Research Work

The situation and status of the research work on the next higher transmission voltage for Northwest Power Grid in China are briefly presented in this paper. It has been preliminarily determined that 750 kV will be adopted as the next higher transmission voltage to the 330 kV being used. In consideration of the temporary slowing down of the growth of electric power industry in Northwest China and the advance of the.research work on nation--wide interconnection, the authors put forward their views on this problem.

Additional comments on foot reflexology treatment for sensorineural hearing loss in infant

Currently,treatment options for infant sensorineural hearing loss(SNHL)are limited.This article describes a novel case of SNHL in an infant successfully treated with foot reflexology,along with observed brain activity changes before and after treatment,as indicated by functional magnetic resonance imaging.Hence,this commentary discusses the case and our viewpoints regarding foot reflexology for treating SNHL.

Enhancing User Security on Instagram: A Multifaceted AI System for Filtering Abusive Comments

Social media platforms like Instagram have increasingly become venues for online abuse and offensive comments. This study aimed to enhance user security to create a safe online environment by eliminating hate speech and abusive language. The proposed system employed a multifaceted approach to comment filtering, incorporating the multi-level filter theory. This involved developing a comprehensive list of words representing various types of offensive language, from slang to explicit abuse. Machine learning models were trained to identify abusive messages through sentiment analysis and contextual understanding. The system categorized comments as positive, negative, or abusive using sentiment analysis algorithms. Employing AI technology, it created a dynamic filtering mechanism that adapted to evolving online language and abusive behavior. Integrated with Instagram while adhering to ethical data collection principles, the platform sought to promote a clean and positive user experience, encouraging users to focus on non-abusive communication. Our machine-learned models, trained on a cleaned Arabic language dataset, demonstrated promising accuracy (75.8%) in classifying Arabic comments, potentially reducing abusive content significantly. This advancement aimed to provide users with a clean and positive online experience.

Comments on PVPs,MPPs,NOWS,and Future Computer Architectures

Abstract Using 1995 results from the NASA Parallel Benchmarks, this paper compares the sustained performance (as opposed to peak performance) and cost per unit of sustained performance for state-of-the--art Parallel processing systems that use MicroProcessors(MPP) versus those that use Custom-designed Processors (PVP). This comparison shows that MPPs approach, but seldom surpass, PCPs with respect to either metric. This paper also discusses the merits and demerits of 'clusters' of workstations Ironically, recently introduced low--cost, parallel systems can also be viewed as 'virtual workstation clusters' that offer comparable, if not superior, capabilitics. Finally, this paper explores the question of whether it will be economically feasible for computer manut'acturers to continue building PVPs, or are MPPs the only economically viable option for building parallel systems?

Influence of Online Comments on Tourist' Purchase Intention Based on Questionnaire Survey among Tourists in Tai'an City

Taking tourists in Tai'an City—an outstanding tourism city of China for example, this paper explored the influence of online comments(word-of-mouth effect) on tourists' intention of purchasing services of accommodation facilities and restaurants through analyzing 502 valid questionnaires. Then measures and suggestions were proposed for tourist enterprises improving online word-of-mouth marketing.

Responses to the comments of Prof. Frederic Meunier

Thanks for your straightforward comments and constructive suggestions on our recent study on dual‐beam FT‐IR spectroscopy published in Chin.J.Catal.,2017,38,13?19.We are glad to reply your questions and to give some supplementary remarks concerning the dual beam FT‐IR spectrometer,its usage and application progress.The first question you posed is about the nature of the feed gas flow regime in sample cell(e.g.,plug flow or CSTR‐like).You worry about a non‐CSTR flow regime in the sample cell of our dual beam IR‐cell reactor,which will result in difference in the gas composition of sample cell and reference cell,and consequently an imperfect gas‐phase correction.

Impact of Online Comments on Purchase Intention of College Student Consumers under Online Shopping

With the rapid development of network technology,online shopping has been constantly growing,and how to make better use of the dissemination effect of online comment has become an imperative and practical issue. Based on review of the existing literature,this paper established the theoretical research model and used the literature research and empirical research combined method to analyze the impact of online comment on purchase intention of college student consumers under online shopping. The research results indicate that the quantity,quality,valence and timeliness of online comments exert a significant impact on the purchase intention of college student consumers.

Comments on Zeng's Paper “Variational Principle of Instability of Atmospheric Motions”

After my paper (Zeng, 1986b) was published and another (Zeng, 1989) was submitted to the journal, I found two papers written by Arnold (1966) and McIntyre et al. (1987) and received some reprints of Ripa’s papers (1983; 1984; 1987; 1988) in the same field. I thank Drs. Mu Mu and Pedro Ripa very much for showing and sending me these interesting papers.

Comments on management of difficult inflammatory bowel disease in Issue No.3,Vol.6,2000

Dr.Rampton’s article is well presented which gives areview on the principles and the practical guidelines ofmanagement of inflammatory bowel disease.Managementof severe acute ulcerative colitis(UC)and steroid-refractory ileocecal Crohn’s disease are sometimes difficult,

Comments on “General solutions of plane problem for power function curved cracks”

An error has been found in Ref. [1]. In the case of n = 2, authors of Ref. [1] suggested the following conformal mapping function：

Case study of teachers＇ motivational comments

This paper aims at demonstrating what is motivational comments from teachers which can motivate students to participate in classroom activities and showing patterns of feedback occurring in real classroom teacher-student interaction by doing a case study of episodes of teacher＇s feedback in an English class.

Comments on“Adsorption behavior of heavy metal ions by carbon nanotubes grown on microsized Al_2O_3 particles”

Recently, Hsieh and Horng [1] published the paper entitled as above. In section 3 results and discussion, the authors mentioned the first and the second order kinetic models without any quotations. In fact these two kinetic models have been published [2-5]. In order to distinguish a kinetics model based on the ad- sorption capacity of a solid from the one based on the concentration of a solution, Lagergren＇s first-order rate equation has been called pseudo-first-order [6-7]. The Lagergren＇s equation has been widely cited, but there are far more mistakes made in the quotation and in the reference section of papers, including the title, the author＇s name, journal title, year of publishing, volume, and page number [3]. In addition, the second order kinetic expression for the adsorption systems of divalent metal ions using sphagnum moss peat has been reported by Ho [8].

Introductory Comments by the Editors-in-Chief of the Journal of Energy Chemistry

Renaming of the Journal of Natural Gas Chemistry to the Journal of Energy Chemist~ is most timely and appropriate. The past decade has seen a rapid growth in research and technology devoted to the use of renewable energy resources, principally biomass and solar radiation, at the same time that reserves of fossil energy have increased as a consequence of using advanced drilling methods to release natural gas and petroleum from shale. The changes suggest that future research will focus on both the conversion of conventional energy resources in a manner that result in their efficient use and on the discovery and development of conversion technologies for utilization of renewable energy resources.

Comments on the development trend of the construction cost management in the new period

Building construction projects generally needs a long period, and there are many fixed factors in the process of building, therefore, the management of the project cost is a little difficult. On the basis that the quality of construction is not affected, the effective management of the project cost can effectively control the costs so that the economic and social benefits of the construction unit will be raised, and then continue to promote the development of construction industry in China.

Method of Consistency Judgment for App Software’s User Comments

With the popularity of mobile intelligent terminal, user comments of App software is viewed as one of the research interests of social computing. Faced with the massive App software, most users usually view the other users’ comments and marks to selecting the desired App software. Due to the freedom and randomness of the network comments, the inconsistence between the user’s comment and mark makes it difficult to choose App software. This paper presents a method by analyzing the relationships among user’s comment information, the user’s mark and App software information. Firstly, the consistency between user’s comment information and App software information is judged. Then, through analyzing the grammar relationships among the feature-words, adverbs and the feature-sentiment-words in App software’s feature-sentimentword- pairs, the user’s emotional tendency about App software is quantified quantified combining with the dictionary and the network sentiment words. After calculating the user’s comprehensive score of App software, the consistency of App software’s user comment is judged by comparing this score and the user’s mark. Finally, the experimental results show that the method is effective.

MOFCOM related comments in the first half of 2019

MOFCOM Department of Market Operation and Consumption Promotion Comments on operation situation of consumption market in first half of 2019 Recently, the official of the MOFCOM Department of Market Operation and Consumption Promotion introduced the operation situation of consumption market of China in the first half of 2019. The official pointed out that driven by the consumption, market in the first half year remained stable in general. According to the statistics of the State Statistics Bureau, the total retail sales amount of consumer goods in January - June amounted to 19.5 trillion yuan, up 8.4% year on year, 1 percentage point lower year on year, 0.1 percentage point faster than that of the first quarter. That in June increased significantly by 9.8% year on year, 1.2 percentage points higher than that in May, hitting the highest speed in the recent 15 months. The fundamental role of consumption in economic growth continued to be consolidated. The contribution rate of final consumption expenditure growth to economic growth in the first half of the year reached 60.1%.